Handbook of Computational Sciences: A Multi and Interdisciplinary Approach - Tapa dura

Acerca del autor

Ahmed A. Elngar, PhD, is the founder and head of Scientific Innovation Research Group (SIRG) and assistant professor of Computer Science at the Faculty of Computers and Information, Beni-Suef University, Egypt.

Vigneshwar. M., is head of R & D and Academic Initiatives, Cybase Technologies, Coimbatore, Tamil Nadu, India. He has around 9 years in industry & research and 8 years in academia. He has an M.E., degree in computer science and engineering, and has published more than 110 international/national conference and journal publications as well as numerous awards.

Krishna Kant Singh, PhD, is an associate professor in the Faculty of Engineering & Technology, Jain (Deemed-to-be University), Bengaluru, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of machine learning and remote sensing. He has authored more than 50 technical books and research papers in international conferences and SCIE journals.

Zdzislaw Polkowski, PhD, is a professor in the Faculty of Technical Sciences, Jan Wyzykowski University, Polkowice, Poland. He has published more than 75 research articles in peer-reviewed journals.

De la contraportada

The Handbook of Computational Sciences is a comprehensive collection of research chapters that brings together the latest advances and trends in computational sciences and addresses the interdisciplinary nature of computational sciences, which require expertise from multiple disciplines to solve complex problems.

This edited volume covers a broad range of topics, including computational physics, chemistry, biology, engineering, finance, and social sciences. Each chapter provides an in-depth discussion of the state-of-the-art techniques and methodologies used in the respective field. The book also highlights the challenges and opportunities for future research in these areas.

The volume pertains to applications in the areas of imaging, medical imaging, wireless and WS networks, IoT with applied areas, big data for various applicable solutions, etc. This text delves deeply into the core subject and then broadens to encompass the interlinking, interdisciplinary, and cross-disciplinary sections of other relevant areas. Those areas include applied, simulation, modeling, real-time, research applications, and more.

Audience

Because of the book's multidisciplinary approach, it will be of value to many researchers and engineers in different fields including computational biologists, computational chemists, and physicists, as well as those in life sciences, neuroscience, mathematics, and software engineering.